English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We fit the parameters of a differential equations model describing theproduction of gap gene proteins Hunchback and Knirps along the antero-posterioraxis of the embryo of \emph{Drosophila}. As initial data for the differentialequations model, we take the antero-posterior distribution of the proteinsBicoid, Hunchback and Tailless at the beginning of cleavage cycle 14. Wecalibrate and validate the model with experimental data using single- andmulti-objective evolutionary optimization techniques. In the multi-objectiveoptimization technique, we compute the associated Pareto fronts. We analyze thecross regulation mechanism between the gap-genes protein pair Hunchback-Knirpsand we show that the posterior distribution of Hunchback follow theexperimental data if Hunchback is negatively regulated by the Huckebeinprotein. This approach enables to predict the posterior localization on theembryo of the protein Huckebein, and we validate with the experimental data thegenetic regulatory network responsible for the antero-posterior distribution ofthe gap gene protein Hunchback. We discuss the importance of Paretomulti-objective optimization techniques in the calibration and validation ofbiological models.

Calibration and validation of a genetic regulatory network model  describing the production of the gap gene protein Hunchback in  \emph{Drosophila} early development